The Data Exchange with Ben Lorica

251 Episodes

1. How graph technologies are being used to solve complex business problems

   Published: 9/07/2020
2. Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

   Published: 2/07/2020
3. Designing machine learning models for both consumer and industrial applications

   Published: 25/06/2020
4. Building open source developer tools for language applications

   Published: 18/06/2020
5. Viewing machine learning and data science applications as sociotechnical systems

   Published: 11/06/2020
6. Identifying and mitigating liabilities and risks associated with AI

   Published: 4/06/2020
7. How machine learning is being used in quantitative finance

   Published: 28/05/2020
8. Understanding machine learning model governance

   Published: 21/05/2020
9. Improving performance and scalability of data science libraries

   Published: 14/05/2020
10. Why TinyML will be huge

    Published: 7/05/2020
11. An open source platform for training deep learning models

    Published: 30/04/2020
12. Algorithms that continually invent both problems and solutions

    Published: 23/04/2020
13. Computational Models and Simulations of Epidemic Infectious Diseases

    Published: 16/04/2020
14. Human-in-the-loop machine learning

    Published: 9/04/2020
15. Next-generation simulation software will incorporate deep reinforcement learning

    Published: 2/04/2020
16. Business at the speed of AI: Lessons from Shopify

    Published: 26/03/2020
17. How deep learning is being used in search and information retrieval

    Published: 19/03/2020
18. The responsible development, deployment and operation of machine learning systems

    Published: 12/03/2020
19. Hyperscaling natural language processing

    Published: 5/03/2020
20. What businesses need to know about model explainability

    Published: 27/02/2020